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An Active Geophone Sensor with Optimized state variable filter for Measuring Low-Band Frequencies (vol 25, pg 981, 2024)

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INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 2024年第8期25卷 1755-1755页

作者： Choi, Jinsoo Yoo, Hongki Choi, Eunjong Kim, Kihyun Kim, Hyo-Young Korea Adv Inst Sci & Technol Dept Mech Engn Daejeon South Korea Tech Univ Korea Dept Mechatron Engn Shihung South Korea

An active vibration-isolation system (AVIS) utilizes a geophone sensor, a type of velocity sensor, to control microvibration. The structure of the sensor is modeled by mass, damper, and spring. The mathematical model of the geophone sensor is a second-order model with a resonant frequency. However, at low-band frequencies, the response characteristic is nonlinear and phase delay occurs. Compared with the ideal velocity signals of the system, the velocity signals measured from the geophone sensor were distorted in low-band frequencies. Consequently, this measurement issue in feedback control loops can affect the stability and performance of the AVIS. This paper proposes design rules for a state-variable filter (SVF) that can compensate for the nonlinearity of the geophone sensors in low-band frequencies and evaluates vibration attenuation performance of the AVIS by applying the proposed SVF. To evaluate the effectiveness of the filter in compensating for the nonlinear response of the geophone sensor, we compared Bode plots generated through simulation and experimental results obtained using a dynamic signal analyzer. The experimental results demonstrated that the proposed SVF effectively reduces the resonance peak of the geophone sensor and expands the frequency bands that maintain a constant magnitude in range of 0.8–10 Hz. By applying the geophone sensor with SVF to AVIS, the microvibration attenuation improved to − 18.4 dB near 4.5 Hz.

关键词： Active vibration-isolation system Geophone sensor Low-frequency compensation state variable filter Vibration measurement

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ESTIMATE ACCURACY OF NONLINEAR COEFFICIENTS OF SQUEEZEFILM DAMPER USING state variable filter METHOD

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Chinese Journal of Mechanical Engineering 1998年第3期11卷 13-19页

作者： Zhang, Youyun Roberts, J.B. Xian Jiaotong Univ Xian China

The estimate model for a nonlinear system of squeeze film damper (SFD) is *** method of state variable filter (SVF) is used to estimate the coefficients of *** factors which are critical to the estimate accuracy are ... 详细信息

关键词： Nonlinear coefficient Squeeze film state variable filter Parameter estimate

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Meta-heuristic optimization algorithms for design of gain constrained state variable filter

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2018年 93卷 7-18页

作者： Nayak, Byamakesh Misra, Banishree Choudhury, Tanmoy Roy Deemed Univ Sch Elect Engn KIIT Bhubaneswar Odisha India

In conventional design method, the parameters of an active filter cannot be selected based on manufactured parameters such as E series. However, this can be feasibly obtained using optimization technique through an exhaustive search on all possible combination of preferred values of E series by providing the coding system. The exhaustive search for low pass second order filter is carried out through Meta-heuristic optimization Algorithms. The cost function for error minimization including compatible to E series and gain adaptive are used here as objective function for finding out minima through well known algorithms. The inclusion of gain constrained concept eliminates the extra op-amp cascading to state variable filter circuit which reduces the noise and dimension of cost function;in addition, improves the stability of the system. The performances of Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA) and Sine-Cosine Algorithm (SCA), nature and physics-inspired artificial intelligence techniques are evaluated for state variable filter design considering gain constrained. Each of above algorithms is applied to filter structure and performances of them are also evaluated when filter design is realized with components selected from different manufactured E series.

关键词： Grey wolf optimization Whale optimization algorithm Sine cosine algorithm state variable filter E series Gain constrained

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A pole placement control by states feedback based on state variable filter 42

A pole placement control by states feedback based on State V...

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42nd Conference of the Industrial Electronics Society, IECON 2016

作者： De Oliveira Evald, Paulo Jefferson Dias Mor, Jusoan Lang Azzolin, Rodrigo Zelir Computer Science Center Federal University of Rio Grande Rio Grande - RS96203-900 Brazil

ISBN: (纸本)9781509034741

This article presents a performance comparison between two state observers in a pole placement control (PPC). The first is a classical full order states observer and the second observer is proposed in this work, which is based on a state variable filter (SVF). A inverted pendulum on movable base was the system chosen to accomplish performance comparison of the state observers. Simulation results are presented and results are detailed. © 2016 IEEE.

关键词： Pole placement control state observer state variable filter

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Sensitivity, Pole-Zero and Distortion Analysis of state variable filter with Multiple Faults

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Procedia Materials Science 2015年 10卷 748-753页

作者： B. SreeLatha S.P. Venumadhava Rao E.V.L.N. Ranga Charyulu Associate Professor ECE Department GCET Cheeryal Village Hyderabad India Professor & Head of ECE Department SNIST Hyderabad India Professor ECE Department GCET Cheeryal Village Hyderabad India

In this paper the fault diagnosis of multiple faults in linear circuits is studied for distortion analysis for 2nd and 3rd harmonic components by considering a state variable filter circuit. To study the testability of the circuit the distortion analysis is plotted for various fault conditions. The sensitivity of the output signal with respect to the faults along with pole-zero analysis is obtained. The transfer function of the state variable filter considered for the analysis is given by:

关键词： Sensitivity Analysis Distortion Analysis Pole-Zero Analysis state variable filter

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A New 2^nd Order variable-state filter: The Frequency Agile filter

A New 2<SUP>nd</SUP> Order Variable-State Filter: The Freque...

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European Conference on Circuit Theory Design

作者： Lakys, Yahya Fabre, Alain Godara, Balwant CNRS UMR 5218 ENSEIRB IMS Lab 1 Ave Dr SchweitzerBP 99 F-33402 Talence France Inst Super Elect Paris F-75006 Paris France

ISBN: (纸本)9781424438952

This article presents a new second-order state variable filter including two amplifiers. The centre frequency of the resulting filter, f(0), can be easily controlled using the gains of the amplifiers. This leads to a frequency-agile filter, whose centre frequency can be controlled over a wide range, without incidence on the power consumption. Simulation results given in this article confirm the new approach.

关键词： controlled current conveyor current mode filter frequency agile filter frequency tuning state variable filter

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Optimal selection of components value for analog active filter design using simplex particle swarm optimization

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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2015年第4期6卷 621-636页

作者： De, Bishnu Prasad Kar, R. Mandal, D. Ghoshal, S. P. NIT Durgapur Dept Elect & Commun Engn Durgapur India NIT Durgapur Dept Elect Engn Durgapur India

The simplex particle swarm optimization (Simplex-PSO) is a swarm intelligent based evolutionary computation method. Simplex-PSO is the hybridization of Nedler-Mead simplex method and particle swarm optimization (PSO) without the velocity term. The Simplex-PSO has fast optimizing capability and high computational precision for high-dimensionality functions. In this paper, Simplex-PSO is employed for selection of optimal discrete component values such as resistors and capacitors for fourth order Butterworth low pass analog active filter and second order state variable low pass analog active filter, respectively. Simplex-PSO performs the dual task of efficiently selecting the component values as well as minimizing the total design errors of low pass analog active filters. The component values of the filters are selected in such a way so that they become E12/E24/E96 series compatible. The simulation results prove that Simplex-PSO efficiently minimizes the total design error to a greater extent in comparison with previously reported optimization techniques.

关键词： Analog active filter Butterworth filter state variable filter Evolutionary optimization technique Nedler-Mead simplex method Simplex-PSO

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Particle Swarm Optimization with Aging Leader and Challengers for Optimal Design of Analog Active filters

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2015年第3期34卷 707-737页

作者： De, Bishnu Prasad Kar, R. Mandal, D. Ghoshal, S. P. NIT Durgapur Dept Elect & Commun Engn Durgapur India NIT Durgapur Dept Elect Engn Durgapur India

Due to the manufacturing limitations, the task of optimal analog active filter design by hand is very difficult. Evolutionary computation may be a competent implement for automatic selection of optimal discrete component values such as resistors and capacitors for analog active filter design. This paper presents an efficient approach for optimal analog filter design considering different topologies and manufacturing series by selecting their component values. The evolutionary optimization technique used is particle swarm optimization (PSO) with Aging Leader and Challenger (ALC-PSO). ALC-PSO performs the dual-task of efficiently selecting the component values as well as minimizing the total design errors of low pass active filters. The component values of the filters are selected in such a way so that they become E12/E24/E96 series compatible. The simulation results prove that ALC-PSO efficiently minimizes the total design error with respect to previously used optimization techniques.

关键词： Analog active filter Butterworth filter state variable filter Evolutionary optimization technique PSO ALC-PSO

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Estimation of component values of filter design using optimization algorithms

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年第3期37卷 3567-3579页

作者： Nayak, Byamakesh Choudhury, Tanmoy Roy Misra, Banishree Mohapatra, Alivarani KIIT Sch Elect Engn Bhubaneswar India

In this paper, component values of analog active filters are selected based on the manufacturer's values of E series. The selection is based on optimization algorithms and here one is nature-inspired meta-heuristic optimization algorithm, called Whale Optimization Algorithm (WOA), and another one is the physics-based method called Sine Cosine Algorithm (SCA), are used for active filter design. The capability of optimization of the above algorithms is evaluated by considering the two active filters of a 4th order Butterworth and state variable filter. The performances of each algorithm are analyzed by applying to above two different filter structures, where the component values are determined by making compatible with different E series manufacturer.

关键词： Active filter design E series sine cosine algorithm whale optimization algorithm 4th order butterworth filter state variable filter

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A bias correction method for fractional closed-loop system identification

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JOURNAL OF PROCESS CONTROL 2015年 33卷 25-36页

作者： Yakoub, Z. Chetoui, M. Amairi, M. Aoun, M. Univ Gabes Natl Engn Sch Gabes Tunisia Res Unit Modeling Anal & Control Syst MAC Gabes Tunisia

In this paper, the fractional closed-loop system identification using the indirect approach is presented. A bias correction method is developed to deal with the bias problem in the continuous-time fractional closed-loop system identification. This method is based on the least squares estimator combined with the state variable filter approach. The basic idea is to eliminate the estimation bias by adding a correction term in the least squares estimates. The proposed algorithm is extended, using a nonlinear optimization algorithm, to estimate both coefficients and commensurate-order of the process. Numerical example shows the performances of the fractional order bias eliminated least squares method via Monte Carlo simulations. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Closed-loop system Commensurate-order Fractional differentiation Least squares state variable filter System identification

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